Prashant K. Jain

ORCID: 0000-0003-4706-7184
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Additive Manufacturing and 3D Printing Technologies
  • Additive Manufacturing Materials and Processes
  • Manufacturing Process and Optimization
  • Endodontics and Root Canal Treatments
  • Metal Forming Simulation Techniques
  • Laser and Thermal Forming Techniques
  • Metallurgy and Material Forming
  • Innovations in Concrete and Construction Materials
  • Polymer Nanocomposites and Properties
  • biodegradable polymer synthesis and properties
  • Biometric Identification and Security
  • Advanced Sensor and Energy Harvesting Materials
  • 3D Printing in Biomedical Research
  • Antenna Design and Analysis
  • Dental Radiography and Imaging
  • Welding Techniques and Residual Stresses
  • Occupational health in dentistry
  • Injection Molding Process and Properties
  • Digital Media Forensic Detection
  • Bone Tissue Engineering Materials
  • Face and Expression Recognition
  • Face recognition and analysis
  • Induction Heating and Inverter Technology
  • 3D Shape Modeling and Analysis
  • Engineering Technology and Methodologies

Indian Institute of Information Technology Design and Manufacturing Jabalpur
2015-2024

Michigan State University
1985-2024

Delhi Technological University
2023

Birla Institute of Technology and Science, Pilani
2019

Rani Durgavati University
2013

National Research Tomsk State University
2012

Indian Institute of Technology Delhi
2008-2009

University College of Medical Sciences
2008

University of California, Davis
1981

University at Buffalo, State University of New York
1978

Detecting manipulated facial images and videos is an increasingly important topic in digital media forensics. As advanced face synthesis manipulation methods are made available, new types of fake representations being created which have raised significant concerns for their use social media. Hence, it crucial to detect localize regions. Instead simply using multi-task learning simultaneously predict the mask (regions), we propose utilize attention mechanism process improve feature maps...

10.1109/cvpr42600.2020.00582 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020-06-01

In this study, austenitic stainless steel (ASS) was additively fabricated by an arc-based direct energy deposition (DED) technique. Macrostructure, microstructure, mechanical characteristics at different spatial orientations (0°, 90°, and 45°), wear were evaluated the deposited structure top, middle, bottom regions. The results show that austenite (γ) delta-ferrite (δ) phases make up most of microstructure SS316LSi steel. Within γ matrix, δ phase is dispersed both (within along) grain...

10.1016/j.dt.2024.02.006 article EN cc-by-nc-nd Defence Technology 2024-03-20

In this paper we present some new algorithms useful for extrapolation and spectral estimation of band-limited sequences in one two dimensions. First show that many the existing noiseless observations are unified under criterion minimum norm least squares (MNLS) extrapolation. For example, iterative proposed [2] [8]-[10] shown to be special cases a one-step gradient algorithm which has linear convergence. Convergence other numerical properties improved by going conjugate algorithm. noisy...

10.1109/tassp.1981.1163639 article EN IEEE Transactions on Acoustics Speech and Signal Processing 1981-08-01

Surface roughness prediction studies in fused deposition modeling (FDM) process are usually based on a perimeter profile of each deposited layer. This study categorizes three types build edge composed perimeter, raster, and combination both layer patterns, which have been considered to reduce the predictive error models. Furthermore, an innovative approach theoretical empirical methods is used analyze predict randomness geometry profiles. The same methodology model surface behaviors....

10.1115/1.4032193 article EN Journal of Manufacturing Science and Engineering 2015-12-08

Polymer-layered silicate (PLS) nanocomposites exhibit enhanced mechanical and thermal properties when compared with pristine polymers macrocomposites. Utilizing the benefits of PLS nanocomposite in fused deposition modelling (FDM) process is great significance. It could assist to overcome limitations imposed by availability materials FDM process; need widen range critical order fabricate parts improved properties. Experimental investigations were carried out on development processing for...

10.1080/17452759.2016.1172431 article EN Virtual and Physical Prototyping 2016-04-02

AbstractBead geometry plays a significant role in the fabrication of artefacts via wire arc additive manufacturing (WAAM) route especially with respect to dimensional characteristics, surface properties, and part density. It also substantially affects material penetration, accuracy, thickness subsequent layers. The present study focuses on effect processing parameters single-bead for fabricating 316LSi stainless steel pulsed-mode metal transfer WAAM. Models were developed by utilizing...

10.1080/01694243.2023.2241642 article EN Journal of Adhesion Science and Technology 2023-08-11

10.1007/s00170-008-1682-3 article EN The International Journal of Advanced Manufacturing Technology 2008-08-11

10.1007/s40430-018-1068-x article EN Journal of the Brazilian Society of Mechanical Sciences and Engineering 2018-02-19

Banded Toeplitz matrices of large size occur in many practical problems [1]-[6]. Here the problem inversion as well solving simultaneous equations type Hx = y, when H is a banded matrix, are considered. It shown via certain circular decompositions that such may be exactly solved <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">O(N \log_{2} N)</tex> rather than O(N <sup xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ) computations...

10.1109/tassp.1978.1163064 article EN IEEE Transactions on Acoustics Speech and Signal Processing 1978-04-01
Coming Soon ...